---
title: Confidence Intervals
description: Request confidence intervals for sampled data.
image: https://developers.cloudflare.com/core-services-preview.png
---

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# Confidence Intervals

Confidence intervals help assess accuracy and quantify uncertainty in results from sampled datasets. When querying sum or count fields on adaptive datasets, you can request a confidence interval to understand the possible range around an estimate. For example, specifying a confidence level of `0.95` returns the estimate, along with the range of values that likely contains the true value 95% of the time.

## Availability

* **Supported datasets**: Adaptive (sampled) datasets only.
* **Supported fields**: All `sum` and `count` fields.
* **Usage**: Confidence `level` must be provided as a decimal between 0 and 1 (for example,`0.90`, `0.95`, `0.99`).
* **Default**: If no confidence level is specified, intervals are not returned.

## Usage example

The following example shows how to query a confidence interval and interpret the response.

### Request

To request a confidence interval, use the `confidence(level: X)` argument in your query.

A GraphQL query

```

query SingleDatasetWithConfidence($zoneTag: string, $start: Time, $end: Time) {

  viewer {

    zones(filter: {zoneTag: $zoneTag}) {

      firewallEventsAdaptiveGroups(

        filter: {datetime_gt: $start, datetime_lt: $end}

        limit: 1000

      ) {

        count

        avg {

          sampleInterval

        }

        confidence(level: 0.95) {

          count {

            estimate

            lower

            upper

            sampleSize

          }

        }

      }

    }

  }

}


```

[Run in GraphQL API Explorer](https://graphql.cloudflare.com/explorer?query=I4VwpgTgngBAygSwHYHMA2YAiBDALtgZzFwHUFcALAYQHskAzBAEzCQGMwAKAEgC86wAFWwoAXDAK4IyFABoY3Sdgi5xghAFsw87qyZrNYAJQwA3gCgYMAG4IwAd0hnLVmPyRgCnRmlyRxpu5CIuJ8AsIoAL4mFq6ujBAO2GhoAKLWrLgEAIJM2AAOuAgZAOIQNCD5Xi5xVj5+EAF5fkVaAPooqgpKKvLNxIZtvqF6kTW1aJrk4gCMAAwL41YxS65sFUi4q1bY1ijOtbUE2Br5GACSm5DWydswY4dW6wzMrBycGBlo4nMAdACcAFYVo81htcAdQa5PK08GA7nE0DRHBAEa5KvlIGirMdThhELx4VD7ncHrUyVYyWNIkA&variables=N4IgXg9gdgpgKgQwOYgFwgFoHkByBRAfQEkAREAGhAGcAXBAJxrRACYAGFgNgFo2BWXgA44ARgDMqFoNR8xGCiBhQAJs3ZdeAtsJEBOSdNnyAvkA)

### Response

The response includes the following values:

* `estimate`: The estimated value, based on sampled data.
* `lower`: The lower bound of the confidence interval.
* `sampleSize`: The number of sampled data points used to calculate the estimate.
* `upper`: The upper bound of the confidence interval.

In this example, the interpretation of the response is that, based on a sample of 40,054, the estimated number of events is 42,939, with 95% confidence that the true value lies between 42,673 and 43,204.

```

{

  "data": {

    "viewer": {

      "zones": [

        {

          "firewallEventsAdaptiveGroups": [

            {

              "avg": {

                "sampleInterval": 1.0720277625205972

              },

              "confidence": {

                "count": {

                  "estimate": 42939,

                  "lower": 42673.44115335711,

                  "sampleSize": 40054,

                  "upper": 43204.55884664289

                }

              },

              "count": 42939

            }

          ]

        }

      ]

    }

  },

  "errors": null

}


```

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```